DESCRIPTION
The Amazon Capacity and Topology team determines how many, what kind, and where to place new buildings for Amazon’s supply chain worldwide. These facilities range from million-square-foot fulfillment centers with thousands of robots down to inner-city Prime Now facilities serving orders to be fulfilled within an hour. Each year we spend billions on these facilities and expect high-impact results from the network built upon them. That network is expanding faster than ever. This team owns the systems that are critical for managing capacity in Amazon’s network for all retail customers on Amazon.com. If you are interested in diving into a multi-discipline, high impact space, this team is for you.
Key job responsibilities
Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning and optimization systems. Our org fosters new game-changing ideas that we are continuously improving, resulting in sophisticated, intelligent and self-learning models. Capacity and IPE Engineering is unique in that we’re simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon. Unlike many companies who buy existing off-the-shelf planning systems, Cube Forecasting is responsible for studying, designing, and building systems to suit Amazon’s needs.
A day in the life
This position is for a senior software engineer that creates and develops innovative solutions for the most challenging use cases confronting capacity planning today.
About the team
This team owns the systems which are critical for managing capacity in Amazon’s network for retail customers to purchase on Amazon.com. These systems cover a broad range of solutions which includes front-ends, workflows, advanced mathematical models, data platform built using latest technology frameworks and AWS.
BASIC QUALIFICATIONS
– 5+ years of non-internship professional software development experience
– 5+ years of programming with at least one software programming language experience
– 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
– 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent
– 5+ years of highly scalable systems experience
– Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
– Experience building complex software systems that have been successfully delivered to customers
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
USA, NY, New York